Wu Yanan, Fan Zhenqian, Chen Yu, Ni Jingxian, Liu Jie, Han Jing, Ren Li, Tu Jun, Ning Xianjia, Wang Jinghua
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, China.
Front Neurol. 2019 Feb 5;10:57. doi: 10.3389/fneur.2019.00057. eCollection 2019.
Although strokes are the leading cause of death and disability in many countries, China still lacks long-term monitoring data on stroke incidence and risk factors. This study explored stroke risk factors in a low-income, rural population in China. The study population was derived from the Tianjin Brain Study, a population-based stroke monitoring study that began in 1985. This study documented the demographic characteristics, past medical histories, and personal lifestyles of the study participants. In addition, physical examinations, including measurements of blood pressure (BP), height, and weight, were performed. Hazard ratios (HRs) were estimated for the risk factors for all subtypes of stroke using multivariate Cox regression analyses. During the study with mean following-up time of 23.16 years, 3906 individuals were recruited at baseline, and during 27 years of follow-up, 638 strokes were documented. The multivariate Cox regression analyses revealed a positive correlation between age and stroke incidence. Limited education was associated with a 1.9-fold increase in stroke risk (lowest vs. highest education level). Stroke risk was higher among former smokers than among current smokers (HR, 1.8 vs. 1.6; both, < 0.05). Moreover, stroke risk was significantly associated with sex (HR, 1.8), former alcohol drinking (HR, 2.7), baseline hypertension (HR, 3.1), and overweight (HR, 1.3). In conclusion, this study identified uncontrollable (sex and age) and controllable (education, smoking, alcohol drinking, hypertension, and overweight) risk factors for stroke in a low-income, rural population in China. Therefore, it is critical to control BP and weight effectively, advocate cessation of smoking/alcohol drinking, and enhance the education level in this population to prevent increase in the burden of stroke in China.
尽管中风是许多国家死亡和残疾的主要原因,但中国仍缺乏关于中风发病率和风险因素的长期监测数据。本研究探讨了中国低收入农村人群的中风风险因素。研究人群来自于1985年开始的基于人群的中风监测研究——天津脑研究。本研究记录了研究参与者的人口统计学特征、既往病史和个人生活方式。此外,还进行了包括血压(BP)、身高和体重测量在内的体格检查。使用多变量Cox回归分析估计了所有中风亚型风险因素的风险比(HRs)。在平均随访时间为23.16年的研究期间,基线时招募了3906人,在27年的随访期间,记录了638例中风。多变量Cox回归分析显示年龄与中风发病率呈正相关。受教育程度有限与中风风险增加1.9倍相关(最低教育水平与最高教育水平相比)。既往吸烟者的中风风险高于当前吸烟者(HR,1.8对1.6;均P<0.05)。此外,中风风险与性别(HR,1.8)、既往饮酒(HR,2.7)、基线高血压(HR,3.1)和超重(HR,1.3)显著相关。总之,本研究确定了中国低收入农村人群中风的不可控(性别和年龄)和可控(教育、吸烟、饮酒、高血压和超重)风险因素。因此,有效控制血压和体重、提倡戒烟/戒酒以及提高该人群的教育水平对于预防中国中风负担的增加至关重要。